Object-Oriented Design Measurement: Foreword by Brian Henderson-Sellers - Hardcover

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"Once in a while, a potentially classic book comes along––one that is built not only to last but also to have a lasting impact on its field. In this case, Scott Whitmire′s text is likely to offer significant influences on the very foundational ideas underpinning object technology." –– from the Foreword by Brian Henderson–Sellers Director, Centre for Object Technology Applications and Research (Victoria, Australia)

"A thought–provoking presentation of both the foundations of measurement theory and Whitmire′s experience–driven approach to adapting measurement technology to support the design of high–quality, object–oriented software." –– Charlie Cox, Senior Consultant, ISPI, Inc.

Based on a thorough study of measurement theory, category theory, and a strong mathematic foundation, Scott Whitmire presents his own formal model of objects–– a ground–breaking development for object–oriented design measurement. Using this model, or any other formal model, you can create a custom metric for any design characteristic you can describe through careful observation. This indispensable book guides you through the development process for nine unique design characteristics, including a controversial new "quality of abstraction" characteristic, which combines Sufficiency, Completeness, and Cohesion to help you determine the extent to which components include all the features required of your design.

With Object–Oriented Design Measurement, you′ll get:
∗ Measures you can use right now to save time and money on software design
∗ Practical guidance through the process of creating your own measures
∗ A culled history of metrics that pulls out the lessons learned for object technology
∗ A mathematical basis for design simulation
∗ A framework in which to place measures by audience, object of measurement, and purpose
∗ Formal definitions and measures for design characteristics of object–oriented measures used in industry today, and new–fashioned measures like Primitiveness and Similarity

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